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Sevna alternatives & similar sites

Sevna Infotech – Turning Browsers Into Buyers Since 2010 — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sknjmarketing.com ↗	68 match 1 shared topics	SKNJ Marketing – Turning Clicks Into Clients	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
websites-audit.com ↗	67 match 1 shared topics	Ronin Media Marketing — Turn Visitors Into Buyers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marksurge.com ↗	67 match 1 shared topics	MarkSurge – Turning Marketing Into Customers	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
websolvs.com ↗	67 match 1 shared topics	Performance Analytics Studio – Turning Business Data Into Growth	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bondello.io ↗	67 match 1 shared topics	Bondello – Turn One-Time Orders Into Lifelong Customers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
1hourfunnels.com ↗	66 match 1 shared topics	CopyPrompting Turn Cold Traffic Into Buyers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
scalerev.ai ↗	66 match 1 shared topics	ScaleRev \| Turning Ads Into Appointments	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
scalerevperformance.com ↗	66 match 1 shared topics	ScaleRev \| Turning Ads Into Appointments	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
adgycontent.com ↗	65 match 1 shared topics	Adgy – Turn ideas into actionable marketing plans	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
technologypr.eu ↗	65 match 1 shared topics	Technology PR - Turning mindshare into market share	European Union en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
jassiinfotech.com ↗	65 match 1 shared topics	Jassi infotech – Digital Markeitng Company in Jaipur	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
capitolhilltimes.com ↗	65 match 1 shared topics	Capitol Hill Times - Serving you the News Since the old times	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
1stchoicedigitalservices.com ↗	65 match 1 shared topics	Welcome to 1st Choice Digital Services – Turning your ideas into online businesses!	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2pointdigital.com ↗	65 match 1 shared topics	Scaling Brands Since 2006 \| Best Digital Marketing Agency	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
2pointagency.com ↗	65 match 1 shared topics	Scaling Brands Since 2006 \| Best Digital Marketing Agency	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
desanainfotech.com ↗	65 match 1 shared topics	Desana Infotech \| desanainfotech.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
designableideas.com ↗	65 match 1 shared topics	High Quality Lead Generation since 2011 \| Designable Ideas	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mbold.io ↗	65 match 1 shared topics	mbold.io – Turn LinkedIn into Your B2B Growth Engine	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.